Data Science internship

Paris - France

Monthly Salary: EUR 1500 - 1500

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Algoan is a Fintech founded in 2018 that transforms the way credit decisions are made through its scoring and budget analysis solutions based on Open Banking. Our API-based products enable financial institutions to optimize their decision-making processes by analyzing the banking data of loan applicants.

As a European leader in this field we collaborate with major players (Sofinco Cofidis Revolut etc.) to enhance user experience and acceptance rates while reducing the risk of over-indebtedness across various use cases (installment payments consumer credit car financing etc.). Algoan strives to make credit more accessible to a broader audience with security and compliance at the heart of its priorities.

Key figures:

We are a team of 30 people.
We have raised over 10 million.
Our API is available in 6 European countries.
We are ISO 27001 certified and regulated by the ACPR.
Our data stack: Our core technologies include MongoDB DataFlow BigQuery dbt Python and git.

Tasks

We are looking for a motivated and talented Data Science Intern to review performance and improve our models. This internship is a unique opportunity to work on a high-impact project at the core of our product offering in a fast-paced and innovative environment. Under the supervision of a Senior Data Scientist you will:

Explore preprocess and enrich Open Banking datasets to extract meaningful features.
Benchmark model performance with respect to existing models and business objectives such as acceptance and default rates on our different portfolios.
Identify and mitigate biases ensure model robustness and regulatory compliance.
Present findings and results internally and possibly to clients.
Collaborate with Product and Tech teams to improve the models.

Requirements

Currently enrolled in a Masters degree in Data Science Applied Mathematics or similar.
Solid knowledge in statistical modeling and machine learning algorithms.
Strong analytical skills autonomy and problem-solving mindset.
Solid Python skills (pandas scikit-learn Jupyter etc.).
Interest in fintech and responsible credit scoring.
Experience with scoring models development is a strong plus.

Benefits

A hands-on project with real impact on the product and our clients.
A collaborative data-driven team environment.
Mentorship from experienced Data Scientists.
A chance to discover the inner workings of a product-focused API-first fintech startup.

Key figures:

We are a team of 30 people.
We have raised over 10 million.
Our API is available in 6 European countries.
We are ISO 27001 certified and regulated by the ACPR.
Our data stack: Our core technologies include MongoDB DataFlow BigQuery dbt Python and git.

Tasks

Explore preprocess and enrich Open Banking datasets to extract meaningful features.
Benchmark model performance with respect to existing models and business objectives such as acceptance and default rates on our different portfolios.
Identify and mitigate biases ensure model robustness and regulatory compliance.
Present findings and results internally and possibly to clients.
Collaborate with Product and Tech teams to improve the models.

Requirements

Currently enrolled in a Masters degree in Data Science Applied Mathematics or similar.
Solid knowledge in statistical modeling and machine learning algorithms.
Strong analytical skills autonomy and problem-solving mindset.
Solid Python skills (pandas scikit-learn Jupyter etc.).
Interest in fintech and responsible credit scoring.
Experience with scoring models development is a strong plus.

Benefits

A hands-on project with real impact on the product and our clients.
A collaborative data-driven team environment.
Mentorship from experienced Data Scientists.
A chance to discover the inner workings of a product-focused API-first fintech startup.